Browsing by Author "Piyawan Puttibarncharoensri"
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ItemAn application of value stream mapping to improve purchase order process (Assumption University Press, 2018) Phasinee Chuensunk ; Piyawan Puttibarncharoensri ; Yenrudee TantisiriphaiboonThis research is about an electricity generating company whose long lead time in its procurement process for spare parts after breakdowns caused internal customer complaints. The focus firm, Allied Generating Company (AGCo), is in a sensitive industry, that of supplying electricity to provincial and national grids in Thailand. Therefore, the procurement problem is a threat to the nation’s economy as well as to the reputation of the AGCo firm. To solve this embarrassing problem, this research applied the Value Stream Mapping (VSM) Lean methodology to identify and remove ‘wastes’ so as to reduce lead time delays and improve the procurement process.It was found that the problem originated in the Procurement Department’spurchase order process. Historical data for a one-year period found that the actual lead time was 26% higher than the standard set time. Of the three bidding methods by which suppliers could tender their bids, the Written Bidding method had the highest number of purchase order delays, 54% of its 151 bids. The average actual processing time of this method was 50.5 days, compared with the set standard of 15 days. The major cause of delays was communication waste in confirming specifications and conditions, and seeking bids from too many suppliers. Work plans were redesigned to eliminate this waste and improve the purchase order process, thus achieving the standard time. Continuous performance monitoring was also begun, with KPI standards.
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ItemDefect reduction by dmaic method: a case study of a jewelry manufacturer(Assumption University Press, 2019) Luederat Chartmongkoljaroen ; Radha Sirianukul ; Piyawan Puttibarncharoensri ; Wasana MarksinThis research is a case study of a jewelry manufacturerwith the purposes to solve a problem of the defect rate of resins in the modeling department. DMAIC methodology (Define, Measure, Analyze, Improve, and Control) was applied in the research to analyze and identify root causes of the defective resins, improve modeling processes,and reduce a defect rate of resins.Data were collected by using the data collection forms, observations, interviews, and historical data. As a result, there are eight root causes of the defects divided into four categories of the causes and effects diagram. The research wasscoped down to focus on only two categories, which are methods and manpower. Researcher proposed five solutions to solve the problem of defects as well as few control strategies to measure and maintain the improvements. Company has gained many benefits from this research. The resultsclearly indicate that the defect rate of resins decreased significantly.
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ItemForecasting techniques for a needle manufacturer(Assumption University Press, 2020) Kanoklak Thamjong ; Piyawan Puttibarncharoensri ; Chuthin ThanasarnaksornCurrently, one of the most significant activities in supply chain management is inventory management, so various theories and concepts have been illustrated on how to get a well-managed inventory. The purpose of this research is to optimize theinventory level and suggest procurement planning to know thedemand forecast and a proper replenishment quantity of consumablestock, ABC Analysis model based on dollar value hasbeenapplied to prioritize significanceof the stock for the company topayattentionto. Forecastingtechniquesusehistorical dataof actual consumption to average demand.Moving Average Forecasting (MVA)and Single Exponential Smoothing forecasts(SES)help to predict demand in the next period. Forecasterror measurement such as Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE) could support to find which of the forecast techniques is more accurate. Reorder Point (ROP) and Safety Stock (SS) can be recommended to computean optimum stock during replenishment cycleto maintain customer service level.These methodscan save over 2 million baht of inventory cost.
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